USGS · ofr20111062
cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation
Abstract
This report documents cloudPEST-a Python module with functions to facilitate deployment of the model-independent parameter estimation code PEST on a cloud-computing environment. cloudPEST makes use of low-level, freely available command-line tools that interface with the Amazon Elastic Compute Cloud (EC2(TradeMark)) that are unlikely to change dramatically. This report describes the preliminary setup for both Python and EC2 tools and subsequently describes the functions themselves. The code and guidelines have been tested primarily on the Windows(Registered) operating system but are extensible to Linux(Registered).
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Michael N. Fienen, Thomas C. Kunicki, Daniel E. Kester. 2011. cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation. https://doi.org/10.3133/ofr20111062
Cite the original work for its findings. Save a collection to share your selection of sources.